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TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"

Liner LLM Meetup archive

What would you do with 1000 H100s...

MedAlign is a clinician-generated dataset for instruction following with electronic medical records.

The first open Federated Learning framework implemented in C++ and Python.

Numbers every LLM developer should know

Foundation Architecture for (M)LLMs

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

✨✨Latest Advances on Multimodal Large Language Models

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).

Making large AI models cheaper, faster and more accessible

Repository for Doctor AI project

A playbook for systematically maximizing the performance of deep learning models.

Code for the paper "Query-Key Normalization for Transformers"

CareCall for Seniors: Role Specified Open-Domain Dialogue dataset generated by leveraging LLMs (NAACL 2022).

Accompanying repo for the RLPrompt paper

Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".

hyper clova API 사용

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

A minimal pytorch package implementing a gradient reversal layer.

Uplift modeling and causal inference with machine learning algorithms